Disclosure: I work on Trillo AI. This post explains the problem we're trying to solve and how our approach differs from typical AI coding tools; take the framing with that in mind.
AI coding assistants like Claude Code, GitHub Copilot, Cursor, and Gemini have gotten very good at one thing: turning a prompt into working code. Given a clear spec, they'll generate a function, fix a bug, or scaffold a small app in seconds.
But if you've built enterprise software, you know that writing code is the easy part. The hard part happens before the first line is written:
What are the business entities and how do they relate?
What's the application architecture?
